Scrisk — Global Supply Chain Risk Monitor

Scrisk continuously scans global information sources — news, geopolitical data, economic indicators, logistics disruption signals — and generates an interactive real-time map of supply chain risk.

Specifically, it produces:

• •A global risk score (0–100) updated continuously
• •Active alerts classified by severity (critical / warning) with geographic tags
• •Logistics corridors with individual risk scores
• •Urgent mitigation actions generated by AI, specific to area and disruption type

Anyone managing global supply chains knows that risk doesn't wait for the weekly report. A blocked channel, a geopolitical tension, a regulatory change — the impact is measured in hours, not days. The problem is that monitoring everything manually is impossible: too many sources, too fragmented signals, too much noise.

Scrisk automates that part. It doesn't replace your judgment on how to react — but it gives you the updated picture on which to base that judgment.

AI continuously reads and synthesizes a stream of information from open sources: international outlets, agencies, risk databases, macroeconomic indicators. Each signal is classified by relevance, geographic area, and type of supply chain impact.

The result is a dashboard with an interactive map where you can:

• •View the global score and at-risk corridors
• •Filter alerts by severity and area
• •Read AI-suggested mitigation actions
• •Track evolution over time

Everything runs in the browser. No account, login, or installation required.

AI does three specific things:

1. 1Scanning and filtering — reads a volume of sources no analyst could cover manually, filtering noise to extract relevant signals
2. 2Risk classification — assigns scores and severity based on patterns, not static keywords
3. 3Mitigation generation — produces action suggestions specific to disruption type and geographic area

AI doesn't decide for you. It presents a synthetic, actionable picture.

Scrisk is a practical demonstration, not an enterprise product. Here's what to keep in mind:

• •Sources are public and open — no proprietary intelligence or restricted data
• •Scores are indicative, not certified — read them as signals, not definitive assessments
• •Mitigation actions are AI-generated suggestions — they always require human validation in the specific context
• •Coverage depends on source availability — some geographic areas are better covered than others

• •Supply chain managers running global networks who want an updated picture without manual work
• •Risk management professionals looking for a tool complementary to traditional reports
• •Students and professionals who want to understand how AI can be applied to risk monitoring
• •Anyone curious to see what happens when domain expertise and AI work together on a real problem